Literature DB >> 29500201

Risk of pneumococcal diseases in adults with underlying medical conditions: a retrospective, cohort study using two Japanese healthcare databases.

Kentaro Imai1, Tanaz Petigara2, Melvin A Kohn2, Kei Nakashima3, Masahiro Aoshima3, Akihito Shito1, Shinichi Kanazu1.   

Abstract

OBJECTIVES: To quantify the risk of pneumococcal pneumonia (PP) and invasive pneumococcal disease (IPD) in adults aged ≥19 years with underlying medical conditions compared with healthy adults of the same age in Japan.
DESIGN: An observational, retrospective, cohort study using two healthcare claims databases in Japan: Japan Medical Data Center (JMDC) and Medical Data Vision (MDV) databases. PARTICIPANTS: A total of 10.4 million individuals, representing 9.3 million person-years of follow-up, were included in the analysis. Eleven medical conditions as well as PP and IPD were identified by the International Statistical Classification of Diseases and Related Health Problems version 10 diagnostic codes and/or local disease codes used in Japan. PRIMARY OUTCOME MEASURES: Adjusted rate ratios (RRs) for PP and IPD in adults with a medical condition versus adults without any medical condition were calculated using multivariate Poisson regression models with age and/or sex as covariates.
RESULTS: In the JMDC and MDV databases, respectively, adults ≥19 years with a medical condition (RRs for PP: 3.3 to 13.4, 1.7 to 5.2; RRs for IPD: 12.6 to 43.3, 4.4 to 7.1), adults with two or more medical conditions (PP: 11.6, 2.8; IPD: 18.7, 5.8) and high-risk adults (PP: 12.9, 1.8; IPD: 29.7, 4.0) were at greater risk of PP and IPD compared with their healthy counterparts. Adults aged 50-64 years with an underlying medical condition (PP rate: 38.6 to 212.1 per 100 000 person-years) had a higher rate of PP than those aged ≥65 years without any condition (PP rate: 13.2 to 93.0 per 100 000 person-years).
CONCLUSIONS: Adults of all ages with an underlying medical condition are at greater risk of PP and IPD compared with adults without any medical condition. This risk increases with the number of underlying medical conditions. Our results support extending pneumococcal vaccination to younger adults with an underlying medical condition, especially those aged 50-64 years. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  chronic medical condition; invasive; pneumococcal disease; pneumococcal pneumonia

Mesh:

Substances:

Year:  2018        PMID: 29500201      PMCID: PMC5855349          DOI: 10.1136/bmjopen-2017-018553

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


Given the well-known differences in the genetic makeup of the Japanese population, data specific to Japan are important to formulate a national immunisation strategy and to protect vulnerable populations. Our study results may contribute to further knowledge on the risk of pneumococcal disease in Japanese individuals aged ≥19 years with an underlying medical condition. As this study was a retrospective analysis based on insurance claims data, the coding of medical conditions and episodes of pneumococcal pneumonia and invasive pneumococcal disease by the International Statistical Classification of Diseases and Related Health Problems version 10 codes may lead to misclassification, and pneumococcal pneumonia may be undercoded. These analyses did not consider potential confounders other than age and sex, such as pneumococcal vaccination history and residential environment, which might significantly influence the risk of pneumococcal pneumonia and invasive pneumococcal disease. Results from only one database cannot be extrapolated to the general population of adults in Japan, and subjects in the two databases may be representative of different adult populations.

Introduction

Pneumococcal disease, caused by encapsulated Streptococcus pneumoniae, is a major cause of community-acquired pneumonia, meningitis, septicaemia, osteomyelitis, septic arthritis and bacteraemia worldwide. Older adults and children, as well as immunosuppressed individuals, such as those with HIV, are susceptible to pneumococcal disease.1 2 In addition, adults with certain chronic medical conditions, such as diabetes, chronic lung disease and chronic heart disease, are also at increased risk of pneumococcal disease.3 4 These high-risk groups have been targeted for pneumococcal vaccination to reduce the burden of pneumococcal disease in many countries, including the USA, Canada, the UK and Germany.5–8 The 23-valent pneumococcal polysaccharide vaccine (PPV23) was licensed in 1988 in Japan, and studies have revealed the protective effects of PPV23 against invasive pneumococcal disease (IPD) and pneumococcal pneumonia (PP).9–12 Since 2014,13 the National Immunisation Programme in Japan has implemented the use of PPV23 for adults aged 60–64 years with underlying medical conditions, in addition to adults aged ≥65 years. Since 2007,14 15 the Japanese Respiratory Society has advocated an expansion of the programme to individuals aged 2–64 years with chronic or immunosuppressive conditions. Several studies have been conducted in the USA and Germany to examine the burden of pneumococcal disease in persons with underlying medical conditions.16 17 A retrospective analysis of three healthcare claims repositories in the USA showed that PP and IPD rates were approximately three times higher in immunocompetent adults with one or more chronic conditions (‘at-risk’ adults) compared with age-matched healthy adults. Additionally, these rates were approximately 4–7 times and 4–10 times higher in adults who were immunocompromised or receiving immunosuppressive therapy (‘high-risk’ adults), respectively, compared with age-matched healthy adults.4 A separate study using the same databases demonstrated that associated healthcare costs for IPD were approximately 3–4 times and 5–10 times higher in at-risk adults and high-risk adults, respectively, compared with age-matched healthy counterparts.18 The risk of pneumococcal disease in individuals with underlying medical conditions is not well characterised in Japan. As differences in the genetic makeup of the Japanese population may lead to different risk patterns of pneumococcal disease compared with other countries, information specific to Japan is important for healthcare professionals to identify patients at increased risk of pneumococcal disease, and for policy makers to formulate a national immunisation strategy to protect vulnerable populations. Therefore, the objective of this study was to quantify the burden of pneumococcal disease in adults aged ≥19 years with an underlying medical condition in Japan.

Methods

Data source

Two healthcare claims databases, the Japan Medical Data Center (JMDC) database and the Medical Data Vision Company (MDV) database, were used in our study. The JMDC database contains claims data from the Japanese union-managed health insurance system, comprising 10 insurance societies since 2005. The JMDC database includes workers (mostly aged <65 years) employed by mid-sized to large-sized companies and their dependents, and excludes individuals aged ≥75 years. It has records of >3 million individuals.19 The MDV database contains health insurance claims, administrative data, and laboratory values stored in the electronic records of 16 secondary hospitals with an average of 300 beds, which represented 9% of acute care hospitals in Japan. This database contains records for 7.4 million individuals who received healthcare services at these hospitals since 2003.20 21 Subjects in the MDV database can be lost to follow-up. Both databases have been used in multiple studies published in peer-reviewed journals.22–24

Study design and population

This was an observational, retrospective, cohort study. The study design was based on those of the studies by Shea et al4 and Weycker et al18 conducted in the USA, and that by Pelton et al conducted in Germany.25 The study period spanned from 1 January 2006 to 31 December 2014 for the JMDC database and from 1 January 2009 to 31 December 2014 for the MDV database. Adults were included in each yearly cohort if they were aged ≥19 years on the first day of the calendar year and were continuously enrolled over the period from 1 year before to 1 year after 1 January of the calendar years 2007 to 2014 for the JMDC database and 2009 to 2014 for the MDV database. There were no exclusion criteria in this study. Adults were classified as healthy or having an underlying medical condition based on whether they had the medical conditions of interest during the year preceding 1 January of each calendar year included in the study. If a patient had multiple conditions of interest in the previous year, the patient was assigned to all diagnosed conditions. Subjects without evidence of these conditions were classified as healthy. For each yearly cohort, episodes of pneumococcal disease were identified during the 1-year period from 1 January to 31 December. Multiple yearly cohorts were identified at the beginning of each calendar year during the study period. Subjects who met the inclusion criteria in multiple calendar years were included in corresponding yearly cohorts. The study design is summarised in online supplementary figure 1.

Study variables

According to guidelines and recommendations in the USA, England and Japan5 7 13 14 this study included 11 medical conditions of interest: chronic heart disease, chronic lung disease, diabetes mellitus, chronic liver disease, chronic renal disease, cancer, HIV/AIDS, functional or anatomic asplenia, organ transplantation, alcoholism and cerebrospinal fluid leakage. At-risk conditions included chronic heart disease, chronic lung disease, diabetes mellitus, chronic liver disease and alcoholism. High-risk conditions included chronic renal disease, cancer, HIV/AIDS, functional or anatomic asplenia, organ transplantation and cerebrospinal fluid leakage.26 Medical conditions were identified by the International Statistical Classification of Diseases and Related Health Problems version 10 (ICD-10) diagnostic codes and/or local disease codes defined by the Ministry of Health, Labour and Welfare (MHLW) in Japan.27 Detailed definitions of each medical condition are described in online supplementary table 1. Adults were classified as healthy or having an underlying medical condition based on whether they had the medical conditions of interest during the 1-year period preceding follow-up. Adults were classified as having a confirmed medical condition if at least two ICD-10 codes for the condition were recorded in the preceding calendar year. If a patient had multiple conditions of interest in the 1-year period preceding follow-up, the patient was assigned to all diagnosed conditions. Adults without evidence of these conditions were classified as healthy. In addition, adults were classified by the number of medical conditions of interest (0, 1 and 2+ conditions), risk status (healthy, at-risk conditions and high-risk conditions), age (19–49, 50–64 and ≥65 years) and sex (male, female), based on the recommendations for pneumococcal vaccination by the MHLW in Japan,13 and the recommending bodies in other countries, including the USA,5 26 England7 and Germany.8 Patients with multiple chronic medical conditions were included in all applicable chronic medical condition cohorts. For example, a patient with diabetes mellitus and heart disease in 2007 was included in both the diabetes cohort and the heart disease cohort. This patient, if coded only for heart disease in 2008 (without being coded for diabetes mellitus), was not counted in the diabetes cohort, and thus was counted only in the heart disease cohort of 2008. Episodes of PP and IPD were identified by the ICD-10 diagnostic codes and/or local disease codes defined by the MHLW in Japan27 in each calendar year. Episodes were considered distinct if they were separated by an interval of 90 days.4 PP was defined according to the code of PP alone, the code of pneumococcal bronchitis alone, combined codes of pneumonia and pneumococcal infection at the same day or other codes. IPD was defined according to the code of IPD, pneumococcal sepsis, pneumococcal meningitis or others. Detailed definitions of PP and IPD are described in online supplementary table 1.

Statistical analysis

PP and IPD rates per 100 000 person-years were calculated for the overall sample and by age, sex, medical condition, number of medical conditions and risk status. Unadjusted rate ratios (RRs) of PP and IPD in adults with and without a medical condition were calculated by comparing the rates of PP and IPD between adults with and those without a medical condition. Multivariate Poisson regression models, with age and/or sex as covariates, were used to determine age-adjusted and sex-adjusted or sex-adjusted RRs of PP and IPD. Analyses were conducted using SAS V.9.3 (SAS Institute, Cary, North Carolina, USA).

Results

Characteristics of the study population

A total of 10.4 million individuals, representing 9.3 million person-years of follow-up, were included in the analysis (comprising 6.7 million person-years from the JMDC databases and 2.6 million person-years from the MDV database). In the JMDC database, 78% of adults were aged19–49 years, 20% were aged 50–64 years, 2% were aged ≥65 years and the mean age was 39.6 years. Furthermore, 56% were men, 89% had no medical condition, 3% had two or more conditions, 10% had at-risk conditions and 3% had high-risk conditions. In the MDV database, 18% of adults were aged 19–49 years, 26% were aged 50–64 years, 55% were aged ≥65 years and the mean age was 62.0 years. Furthermore, 46% were men, and 48% had no medical condition, 23% had two or more conditions, 40% had at-risk conditions and 22% had high-risk conditions. Few study subjects with HIV/AIDS, alcoholism, asplenia, organ transplantation and cerebrospinal fluid leakage were identified in both databases. Characteristics of the study subjects from the JMDC and MDV databases are shown in table 1.
Table 1

Characteristics of study subjects from the JMDC and MDV database

JMDCMDV
Cumulative number of adultsPerson-years*PPIPDCumulative number of adultsPerson-years*PPIPD
%EventsEvents%EventsEvents
 Overall7 433 2216 721 329100840802 967 4752 565 0331002569117
Age (years)
 19–495 744 2225 211 0577843328566 908470 300181177
 50–641 522 0541 368 0552029645776 809679 3652731826
 ≥65†166 945142 218211171 623 7581 415 36855213484
Sex
 Female3 326 9032 957 52844327201 620 6341 394 66854110961
 Male4 106 3183 763,80256513601 346 8411 170 36446146056
Risk status‡
 Healthy (no condition)6 603 3495 975 76789436331 494 2041 242 4914869123
 At-risk conditions758 769681 91510380371 151 5331 038 33240172583
 High-risk conditions128 966113 909215428628 565556 2082275248
Medical conditions§
 No condition6 603 3495 975 76789436331 494 2041 242 4914869123
 Chronic heart disease144 2281 27 8842120215 22 6884 71 8701897244
 Chronic lung disease313 2692 81 336426119299 6952 68 65610101437
 Diabetes mellitus283 483253 904417831594 890540 6802176146
 Chronic liver disease232 397208 93837523334 107302 8321244327
 Chronic renal disease40 58536 2860.5556122 872109 707421710
 Cancer91 00479 882110323529 116466 9661858940
 HIV/AIDS  NR  NR NRNRNR5214800.0210
 Alcoholism236620780.0310274424210.0940
 Asplenia173215380.023016679960310.2261
 Organ transplantation252522140.031716389535350.1212
 Cerebrospinal fluid leakage2982640.004003553180.0100
Number of conditions
 06 603 3495 975 76789436331 494 2041,242 4914869123
 1614 013554 305815712824 413736 8122964023
 ≥2215 859191 257324735648 858585 73023123871

*Per 100 000 person-years.

†Adults ≥75 years were not included in the JMDC database.

‡For risk status, some totals exceed 100% as some patients were included in more than one subcategory.

§For medical condition, some totals exceed 100% as some patients had more than one medical condition.

IPD, invasive pneumococcal disease; JMDC, Japan Medical Data Center; MDV, Medical Data Vision; NR, not recorded; PP, pneumococcal pneumonia.

Characteristics of study subjects from the JMDC and MDV database *Per 100 000 person-years. †Adults ≥75 years were not included in the JMDC database. ‡For risk status, some totals exceed 100% as some patients were included in more than one subcategory. §For medical condition, some totals exceed 100% as some patients had more than one medical condition. IPD, invasive pneumococcal disease; JMDC, Japan Medical Data Center; MDV, Medical Data Vision; NR, not recorded; PP, pneumococcal pneumonia.

The burden of PP and IPD

Rates and RRs for PP are shown in table 2 for the JMDC database and in table 3 for the MDV database. Rates and RRs for IPD are shown in table 4 for the JMDC database and in table 5 for the MDV database.
Table 2

Rates and RRs of pneumococcal pneumonia in the JMDC database

All ages (≥19 years*)Age subgroups
19–49 years50–64 years≥65 years*
Rate†RR‡ (95% CI)Rate†RR§ (95% CI)Rate†RR§ (95% CI)Rate†RR§ (95% CI)
Overall12.58.321.678.0
Risk status
 Healthy (no condition)7.31.06.31.011.51.013.21.0
 At-risk conditions55.75.3 (4.5 to 6.2)33.65.4 (4.3 to 6.6)59.15.0 (4.0 to 6.4)180.88.2 (4.3 to 15.5)
 High-risk conditions135.212.9 (10.4 to 16.0)104.417.2 (12.6 to 23.4)115.010.2 (7.5 to 13.8)325.216.3 (8.3 to 32.0)
Medical condition¶
 No condition7.31.06.31.011.51.013.21.0
 Chronic heart disease93.87.1 (5.7 to 8.8)78.412.5 (8.5 to 18.3)68.55.6 (4.0 to 7.8)206.810.1 (5.2 to 19.7)
 Chronic lung disease92.810.8 (9.2 to 12.6)51.68.2 (6.6 to 10.4)143.112.8 (9.9 to 16.6)356.418.8 (9.8 to 36.3)
 Diabetes mellitus70.15.7 (4.8 to 6.9)35.95.7 (3.9 to 8.3)65.95.4 (4.1 to 7.0)187.99.0 (4.7 to 17.3)
 Chronic liver disease35.93.3 (2.6 to 4.3)24.33.9 (2.6 to 5.9)38.63.2 (2.2 to 4.7)87.54.3 (2.0 to 9.4)
 Chronic renal disease151.613.4 (10.1 to 17.9)148.223.6 (15.6 to 35.8)67.85.6 (3.0 to 10.5)517.223.7 (11.3 to 49.7)
 Cancer128.911.2 (9.0 to 14.1)72.111.5 (7.4 to 18.0)137.212.5 (9.1 to 17.1)261.511.9 (5.8 to 24.1)
Number of conditions
 07.31.06.31.011.51.013.21.0
 128.33.2 (2.6 to 3.8)19.43.1 (2.3 to 4.1)32.92.8 (2.1 to 3.8)86.33.9 (1.9 to 8.0)
 ≥2129.111.6 (9.7 to 13.9)108.217.4 (13.4 to 22.6)104.98.9 (6.9 to 11.6)272.511.9 (6.2 to 22.8)

*Adults ≥75 years were not included in the JMDC database.

†Per 100 000 person-years.

‡Age-adjusted and sex-adjusted RR.

§Sex-adjusted RR.

¶Results of subgroups with other medical conditions, including HIV/AIDS, alcoholism, asplenia, organ transplantation and cerebrospinal fluid leakage, are not shown.

JMDC, Japan Medical Data Center; RR, rate ratio.

Table 3

Rates and RRs of pneumococcal pneumonia in the MDV database

All ages (≥19 years)Age subgroups
19–49 years50–64 years≥65 years
Rate*RR† (95% CI)Rate*RR‡ (95% CI)Rate*RR‡ (95% CI)Rate*RR‡ (95% CI)
Overall100.224.946.8150.8
Risk status
 Healthy (no condition)55.61.017.81.030.21.093.01.0
 At-risk conditions166.12.3 (2.1 to 2.5)50.92.9 (1.9 to 4.2)78.42.5 (2.0 to 3.2)216.62.2 (2.0 to 2.5)
 High-risk conditions135.21.8 (1.6 to 2.0)48.02.7 (1.7 to 4.4)54.01.7 (1.3 to 2.3)177.11.8 (1.6 to 2.0)
Medical condition§
 No condition55.61.017.81.030.21.093.01.0
 Chronic heart disease206.02.6 (2.3 to 2.9)53.23.2 (1.7 to 6.0)79.22.4 (1.8 to 3.2)249.02.5 (2.3 to 2.8)
 Chronic lung disease377.45.2 (4.7 to 5.7)97.85.6 (3.6 to 8.5)212.16.8 (5.2 to 8.9)479.24.9 (4.4 to 5.5)
 Diabetes mellitus140.71.9 (1.7 to 2.1)42.72.6 (1.5 to 4.5)60.81.8 (1.4 to 2.5)182.11.8 (1.6 to 2.1)
 Chronic liver disease146.32.1 (1.9 to 2.4)42.62.5 (1.4 to 4.5)80.72.5 (1.9 to 3.4)198.02.0 (1.8 to 2.3)
 Chronic renal disease197.82.6 (2.2 to 3.0)85.55.0 (2.5 to 10.2)88.32.7 (1.7 to 4.3)248.02.5 (2.1 to 2.9)
 Cancer126.11.7 (1.5 to 1.9)45.12.5 (1.5 to 4.3)48.31.6 (1.2 to 2.2)165.51.7 (1.5 to 1.9)
Number of conditions
 055.61.017.81.030.21.093.01.0
 186.91.3 (1.2 to 1.5)31.11.7 (1.1 to 2.7)41.31.3 (1.0 to 1.8)122.41.3 (1.1 to 1.4)
 ≥2211.42.8 (2.5 to 3.0)75.44.2 (2.6 to 6.7)98.23.1 (2.4 to 4.0)257.92.7 (2.4 to 3.0)

*Per 100 000 person-years.

†Age-adjusted and sex-adjusted RR.

‡Sex-adjusted RR.

§Results of subgroups with other medical conditions, including HIV/AIDS, alcoholism, asplenia, organ transplantation and cerebrospinal fluid leakage, are not shown.

MDV, Medical Data Vision; RR, rate ratio.

Table 4

Rates and RRs of invasive pneumococcal diseases in the JMDC database

All ages (≥19 years*)Age subgroups
19–49 years50–64 years≥65 years*
Rate†RR‡ (95% CI)Rate†RR§ (95% CI)Rate†RR§ (95% CI)Rate†RR§ (95% CI)
Overall1.20.53.34.9
Risk status
 Healthy (no condition)0.61.00.31.01.61.01.21.0
 At-risk conditions5.45.3 (3.2 to 8.8)1.44.6 (1.7 to 12.7)9.35.7 (3.1 to 10.5)11.14.3 (0.4 to 41.3)
 High-risk conditions24.629.7 (16.9 to 2.1)20.079.0 (34.4 to 182)28.718.2 (9.2 to 36.1)22.714.9 (1.6 to 143)
Medical condition¶
 No condition0.61.00.31.01.61.01.21.0
 Chronic heart disease16.415.7 (8.8 to 28.0)10.833.6 (11.1 to 102)20.011.2 (5.5 to 22.8)14.410.8 (1.1 to 104)
 Chronic lung disease6.816.4 (9.0 to 30.2)0.0019.712.9 (6.4 to 25.8)26.45.1 (0.4 to 63.4)
 Diabetes mellitus12.212.6 (7.4 to 21.2)4.814.7 (4.8 to 44.3)16.310.3 (5.5 to 19.5)13.72.8 (0.2 to 33.3)
 Chronic liver disease11.013.0 (7.5 to 22.7)1.04.1 (0.5 to 31.9)20.411.9 (6.2 to 22.9)17.513.3 (1.4 to 128)
 Chronic renal disease16.525.2 (10.3 to 61.8)12.4120.7 (25.0 to 583)6.24.2 (0.6 to 31.5)77.651.3 (5.3 to 493)
 Cancer28.843.3 (24.7 to 76.2)24.0206.6 (80.6 to 530)39.226.5 (13.4 to 52.5)0.00
Number of conditions
 00.61.00.31.01.61.01.21.0
 12.23.6 (1.8 to 7.1)1.35.3 (1.7 to 16.2)3.92.4 (1.0 to 5.5)0.00
 ≥218.318.7 (10.9 to 32.1)14.142.2 (18.5 to 96.6)19.811.9 (6.2 to 22.8)22.78.2 (0.9 to 79.2)

*Adults ≥75 years were not included in the JMDC database.

†Per 100 000 person-years.

‡Age-adjusted and sex-adjusted RR.

§Sex-adjusted RR.

¶Results of subgroups with other medical conditions, including HIV/AIDS, alcoholism, asplenia, organ transplantation and cerebrospinal fluid leakage, are not shown.

JMDC, Japan Medical Data Center; RR, rate ratio.

Table 5

Rates and RRs of invasive pneumococcal disease in the MDV database

All ages (≥19 years)Age subgroups
19–49 years50–64 years≥65 years
Rate*RR† (95% CI)Rate*RR‡ (95% CI)Rate*RR‡ (95% CI)Rate§RR‡ (95% CI)
Overall4.61.53.85.9
Risk status
 Healthy (no condition)1.91.00.91.00.91.03.01.0
 At-risk conditions8.03.8 (2.4 to 6.2)4.04.0 (0.9 to 18.4)7.79.2 (2.7 to 31.1)8.73.0 (1.7 to 5.1)
 High-risk conditions8.64.0 (2.4 to 6.7)4.24.7 (0.8 to 28.1)8.69.8 (2.8 to 34.7)9.23.1 (1.7 to 5.6)
Medical condition§
 No condition1.91.00.91.00.91.03.01.0
 Chronic heart disease9.34.7 (2.8 to 7.9)17.718.4 (4.0 to 84.2)6.48.0 (2.0 to 32.0)9.63.3 (1.8 to 5.8)
 Chronic lung disease13.87.1 (4.2 to 12.0)5.96.5 (1.1 to 39.0)18.421.4 (5.9 to 77.8)13.84.7 (2.5 to 8.7)
 Diabetes mellitus8.54.4 (2.6 to 7.3)10.711.0 (2.4 to 50.6)8.510.4 (2.9 to 37.2)8.32.8 (1.6 to 5.2)
 Chronic liver disease8.94.7 (2.7 to 8.2)5.75.9 (1.0 to 36.1)5.86.9 (1.6 to 28.9)11.13.8 (2.0 to 7.2)
 Chronic renal disease9.14.7 (2.2 to 10.0)0012.615.4 (3.1 to 76.8)9.33.2 (1.3 to 7.7)
 Cancer8.64.4 (2.6 to 7.4)5.36.0 (1.0 to 36.2)7.68.6 (2.3 to 31.9)9.33.2 (1.8 to 5.9)
Number of conditions
 01.91.00.91.00.91.03.01.0
 13.11.6 (0.9 to 2.8)002.83.3 (0.8 to 13.4)4.01.4 (0.7 to 2.7)
 ≥212.15.8 (3.6 to 9.5)11.611.6 (2.5 to 54.0)12.916.2 (4.7 to 55.7)11.94.1 (2.3 to 7.1)

*Per 100 000 person-years.

†Age-adjusted and sex-adjusted RR.

‡Sex-adjusted RR.

§Results of subgroups with other medical conditions, including HIV/AIDS, alcoholism, asplenia, organ transplantation and cerebrospinal fluid leakage, are not shown.

MDV, Medical Data Vision; RR, rate ratio.

Rates and RRs of pneumococcal pneumonia in the JMDC database *Adults ≥75 years were not included in the JMDC database. †Per 100 000 person-years. ‡Age-adjusted and sex-adjusted RR. §Sex-adjusted RR. ¶Results of subgroups with other medical conditions, including HIV/AIDS, alcoholism, asplenia, organ transplantation and cerebrospinal fluid leakage, are not shown. JMDC, Japan Medical Data Center; RR, rate ratio. Rates and RRs of pneumococcal pneumonia in the MDV database *Per 100 000 person-years. †Age-adjusted and sex-adjusted RR. ‡Sex-adjusted RR. §Results of subgroups with other medical conditions, including HIV/AIDS, alcoholism, asplenia, organ transplantation and cerebrospinal fluid leakage, are not shown. MDV, Medical Data Vision; RR, rate ratio. Rates and RRs of invasive pneumococcal diseases in the JMDC database *Adults ≥75 years were not included in the JMDC database. †Per 100 000 person-years. ‡Age-adjusted and sex-adjusted RR. §Sex-adjusted RR. ¶Results of subgroups with other medical conditions, including HIV/AIDS, alcoholism, asplenia, organ transplantation and cerebrospinal fluid leakage, are not shown. JMDC, Japan Medical Data Center; RR, rate ratio. Rates and RRs of invasive pneumococcal disease in the MDV database *Per 100 000 person-years. †Age-adjusted and sex-adjusted RR. ‡Sex-adjusted RR. §Results of subgroups with other medical conditions, including HIV/AIDS, alcoholism, asplenia, organ transplantation and cerebrospinal fluid leakage, are not shown. MDV, Medical Data Vision; RR, rate ratio. In both databases, PP and IPD rates increased with age. In the JMDC database, the rate of PP increased from 8.3 per 100 000 person-years in adults aged 19–49 years and 21.6–78.0 per 100 000 person-years in adults aged 50–64 years and those aged ≥65 years, respectively. The rate of IPD increased from 0.5 per 100 000 person-years in adults aged 19–49 years and 3.3–4.9 per 100 000 person-years in adults aged 50–64 years and ≥65 years, respectively. In the MDV database, the rate of PP increased from 24.9 per 100 000 person-years to 46.8 and 150.8 per 100 000 person-years in adults aged 50–64 years and those aged ≥65 years, respectively. The IPD rate increased from 1.5 per 100 000 person-years in adults aged 19– 49 years and 3.8–5.9 per 100 000 person-years in adults aged 50–64 years and those aged ≥65 years, respectively. Compared with healthy adults of the same age in the JMDC database, the risk of PP in younger and older adults was highest in patients with chronic renal disease (RR=23.6 (19–49 years); RR=23.7 (≥65 years)), whereas the risk of PP in adults aged 50–64 years was highest in patients with chronic lung disease (RR=12.8). In the MDV database, the risk of PP was highest in patients with chronic lung disease across all age groups compared with healthy adults of the same age (RR=5.6 (19–49 years); RR=6.8 (50–64 years); RR=4.9 (≥65 years)). Compared with healthy adults of the same age, the risk of IPD was highest in adults with cancer aged 19–49 years and 50–64 years in the JMDC database (RR=206.6 and 26.5, respectively), whereas the risk of IPD was highest in older adults with chronic renal disease (RR=51.3). In the MDV database, the risk of IPD was highest in young adults with chronic heart disease (RR=18.4), and adults aged 50–64 years and those aged ≥65 years with chronic lung disease (RR=21.4 and 4.7, respectively) compared with healthy adults of the same age. Across all ages, PP and IPD rates were highest in adults with two or more medical conditions. PP rates in adults with two or more underlying medical conditions were 9–17 times and 3–4 times the rate in healthy adults of the same age in the JMDC and MDV databases, respectively. IPD rates in adults with two or more underlying medical conditions were 8–42 times and 4–16 times the rates in healthy adults in the JMDC and MDV databases, respectively. The PP rates in high-risk adults were 10–17 times and 2–3 times the rate in healthy adults of the same age in the JMDC and MDV databases, while the IPD rates were 15–79 times and 3–10 times the rates in healthy adults in the JMDC and MDV databases, respectively.

Discussion

The Japanese Respiratory Society Guidelines for the Management of Community-Acquired Pneumonia in Adults14 recommend pneumococcal vaccination for individuals aged 2–64 years who have an underlying medical condition. However, little is known about the real-world burden of pneumococcal disease in Japanese adults with these conditions. This retrospective cohort study used two healthcare databases to evaluate the burden of pneumococcal disease in at-risk adults and adults with high-risk medical conditions to close this data gap in Japan. Similar to previous research,4 18 25 the principal findings of our study revealed that adults with an underlying medical condition were at increased risk of PP and IPD, compared with adults without these conditions. This was found among older adults aged ≥65 years and among younger adults aged 19–64 years. Our study also showed that the risk of PP and IPD increased with the number of underlying medical conditions in both younger and older adults, supporting the concept of ‘risk-stacking’ demonstrated by previous studies.3 17 18 28 We also found some differences in the conditions that place individuals at increased risk of pneumococcal disease between younger and older adults. While the risk of PP and IPD was highest in older adults with chronic renal and lung diseases, the risk of PP and IPD in adults aged 50–64 years was highest among patients with chronic lung disease and cancer. These results are similar to those of a previous study in which adults with chronic obstructive pulmonary disease were found to have the highest risk of IPD.28 In adults aged 50–64 years with an underlying medical condition, PP rates in the JMDC database and IPD rates in both the JMDC and MDV databases were higher than the rates in healthy older adults aged ≥65 years, while the same trend was not observed for PP rates in the MDV database. Although pneumococcal vaccination history was not available in the two databases, the pneumococcal vaccination rate was considered low in adults aged ≥65 years during our study period, which ended in 31 December 2014. This is because there was little overlap between our study period and the National Immunisation Programme in Japan, which has provided a subsidy for PPV23 vaccination for adults aged ≥65 years as of 1 October 2014.13 The influence of the subsidy for PPV23 vaccination on the PPV23 vaccination rate in adults aged ≥65 years was considered marginal during our study period. Thus, our results imply that adults aged 50–64 years with an underlying medical condition may be at a greater risk of pneumococcal disease compared with healthy adults aged ≥65 years. The 7-valent pneumococcal conjugate vaccine (PCV7) has been routinely used in children in Japan since 2010, although it has been replaced with the 13-valent PCV (PCV13) since 2013. Estimated PCV7 vaccination rates in Japan were reported to be <10% in 2010, 50–60% in 2011 and 80–90% in 2012.29 Therefore, it is important to consider the potential indirect effect of the childhood PCV programme on RR estimates of adult diseases, because our study spans several years before and after the introduction of the childhood PCV programme. A post hoc analysis to explore rates and RR for PP and IPD before (2010 or earlier) and after (2011 or later) the routine use of PCVs (online supplementary table 2–5) demonstrated that the risk of PP and IPD in adults with an underlying medical condition remained consistently high over both time periods, suggesting that an indirect effect in adults had not yet been observed. Thus, we concluded that the childhood PCV programme did not significantly impact the risk of PP and IPD in adults with an underlying medical condition during our study period. The rates of PP and IPD were higher in the MDV than in the JMDC database in adults with and without an underlying medical condition across all age subgroups. This may not be surprising given that the two databases are drawn from different adult populations in Japan. Adults in the JMDC database represent a population of younger working adults, while those in the MDV database represent a population in need of healthcare services (ie, hospitalised patients and outpatients). These differences in background characteristics may explain the variation in risk of PP and IPD between the two databases. Thus, the results from either database alone may not be generalisable to the general population of adults in Japan. Nonetheless, results from both databases indicate that both younger and older adults with an underlying medical condition in Japan are at increased risk of pneumococcal disease compared with healthy adults of the same age. The findings observed in Japan are consistent with similar studies conducted in the USA and Germany.3 17 18 25

Limitations

This study had some limitations. Regarding the internal validity, using ICD-10 codes to identify medical conditions and episodes of PP and IPD may lead to misclassification. In addition, PP is often undercoded in claims data. Owing to the limited data availability in the two databases, these analyses did not consider potential confounders other than age and sex, such as pneumococcal vaccination history, residential environment and lifestyle factors, such as smoking and drinking, which might significantly influence the risk of PP and IPD. Regarding external validity, results from only one database cannot be extrapolated to the general population of adults in Japan, as subjects in the two databases may be representative of different adult populations.

Conclusion

Adults of all ages with an underlying medical condition, including immunocompetent and immunocompromised adults, are at greater risk of pneumococcal disease, compared with adults without any condition in Japan. This risk increases with the number of underlying medical conditions. Adults aged 50–64 years with an underlying medical condition have a greater risk of pneumococcal disease than adults aged ≥65 years without any condition. Our study findings can help healthcare practitioners and policy makers identify patient groups that are vulnerable to pneumococcal disease and can benefit from pneumococcal vaccination. Adults aged ≥65 years as well as adults aged 60–64 years with a specific medical condition are eligible to receive the subsidy for PPV23 under the National Immunisation Programme in Japan.13 However, our results support extending the pneumococcal vaccination to younger adults with an underlying medical condition, especially those aged 50–64 years.
  22 in total

1.  Effectiveness of pneumococcal polysaccharide vaccine against pneumonia and cost analysis for the elderly who receive seasonal influenza vaccine in Japan.

Authors:  Kenji Kawakami; Yasushi Ohkusa; Reiki Kuroki; Takeshi Tanaka; Kazuhiko Koyama; Yoshitaka Harada; Kouichi Iwanaga; Takeshi Yamaryo; Kazunori Oishi
Journal:  Vaccine       Date:  2010-08-17       Impact factor: 3.641

2.  Risk of underlying chronic medical conditions for invasive pneumococcal disease in adults.

Authors:  Roger Baxter; Arnold Yee; Laurie Aukes; Vincenza Snow; Bruce Fireman; Bruce Atkinson; Nicola P Klein
Journal:  Vaccine       Date:  2016-07-07       Impact factor: 3.641

3.  The JRS guidelines for the management of community-acquired pneumonia in adults: an update and new recommendations.

Authors:  Naoyuki Miyashita; Toshiharu Matsushima; Mikio Oka
Journal:  Intern Med       Date:  2006-05-01       Impact factor: 1.271

4.  [The JRS guidelines for the management of community acquired pneumonia in adults].

Authors: 
Journal:  Nihon Kokyuki Gakkai Zasshi       Date:  2007-01-15

5.  Use of 13-valent pneumococcal conjugate vaccine and 23-valent pneumococcal polysaccharide vaccine for adults with immunocompromising conditions: recommendations of the Advisory Committee on Immunization Practices (ACIP).

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2012-10-12       Impact factor: 17.586

6.  Serotype-specific effectiveness of 23-valent pneumococcal polysaccharide vaccine against pneumococcal pneumonia in adults aged 65 years or older: a multicentre, prospective, test-negative design study.

Authors:  Motoi Suzuki; Bhim Gopal Dhoubhadel; Tomoko Ishifuji; Michio Yasunami; Makito Yaegashi; Norichika Asoh; Masayuki Ishida; Sugihiro Hamaguchi; Masahiro Aoshima; Koya Ariyoshi; Konosuke Morimoto
Journal:  Lancet Infect Dis       Date:  2017-01-24       Impact factor: 25.071

7.  Efficacy of 23-valent pneumococcal vaccine in preventing pneumonia and improving survival in nursing home residents: double blind, randomised and placebo controlled trial.

Authors:  Takaya Maruyama; Osamu Taguchi; Michael S Niederman; John Morser; Hiroyasu Kobayashi; Tetsu Kobayashi; Corina D'Alessandro-Gabazza; Sei Nakayama; Kimiaki Nishikubo; Takashi Noguchi; Yoshiyuki Takei; Esteban C Gabazza
Journal:  BMJ       Date:  2010-03-08

8.  Rates of pneumonia among children and adults with chronic medical conditions in Germany.

Authors:  Stephen I Pelton; Kimberly M Shea; Raymond A Farkouh; David R Strutton; Sebastian Braun; Christian Jacob; Rogier Klok; Elana S Gruen; Derek Weycker
Journal:  BMC Infect Dis       Date:  2015-10-30       Impact factor: 3.090

9.  Rates of pneumococcal disease in adults with chronic medical conditions.

Authors:  Kimberly M Shea; John Edelsberg; Derek Weycker; Raymond A Farkouh; David R Strutton; Stephen I Pelton
Journal:  Open Forum Infect Dis       Date:  2014-05-27       Impact factor: 3.835

10.  Epidemiology of pneumococcal disease in a national cohort of older adults.

Authors:  Haley J Morrill; Aisling R Caffrey; Eunsun Noh; Kerry L LaPlante
Journal:  Infect Dis Ther       Date:  2014-04-12
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  8 in total

1.  Real-world evaluation of osteoporotic fractures using the Japan Medical Data Vision database.

Authors:  Saeko Fujiwara; Amy Buchanan-Hughes; Alvin Ng; Jennifer Page; Kenji Adachi; Hong Li
Journal:  Osteoporos Int       Date:  2022-07-02       Impact factor: 5.071

Review 2.  Prophylactic vaccine delivery systems against epidemic infectious diseases.

Authors:  Chao Pan; Hua Yue; Li Zhu; Guang-Hui Ma; Heng-Liang Wang
Journal:  Adv Drug Deliv Rev       Date:  2021-07-17       Impact factor: 17.873

3.  Epidemiology, vaccine effectiveness, and risk factors for mortality for pneumococcal disease among hospitalised adults in Singapore: a case-control study.

Authors:  Tyson Chan; Min Zhi Tay; Win Mar Kyaw; Angela Chow; Hanley J Ho
Journal:  BMC Infect Dis       Date:  2020-06-17       Impact factor: 3.090

4.  Changes in the Penetration Rate of Biosimilar Infliximab Within Japan Using a Japanese Claims Database.

Authors:  Tsugumi Matsumoto; Takanori Tsuchiya; Takahiro Hirano; Thomas Laurent; Kazuhisa Matsunaga; Jiro Takata
Journal:  Clinicoecon Outcomes Res       Date:  2021-02-25

Review 5.  Promising Expectations for Pneumococcal Vaccination during COVID-19.

Authors:  Hyobin Im; Jinhui Ser; Uk Sim; Hoonsung Cho
Journal:  Vaccines (Basel)       Date:  2021-12-20

Review 6.  Recent advances in the epidemiology and prevention of Streptococcus pneumoniae infections.

Authors:  Charles Feldman; Ronald Anderson
Journal:  F1000Res       Date:  2020-05-07

7.  Pneumococcal vaccine coverage among individuals aged 18 to 64 years old with underlying medical conditions in the UK: a retrospective database analysis.

Authors:  Ian Matthews; Xiaoyan Lu; Qian Xia; Wynona Black; Bayad Nozad
Journal:  BMC Public Health       Date:  2020-10-21       Impact factor: 3.295

8.  A Japanese nationwide survey of 23-valent pneumococcal capsular polysaccharide vaccine (PPSV23) coverage among patients with chronic medical condition aged 50 and older.

Authors:  Kenji Kawakami; Atsushi Nakamura; Akira Wakana; Temitope A Folaranmi; Tomoharu Iino
Journal:  Hum Vaccin Immunother       Date:  2019-12-04       Impact factor: 3.452

  8 in total

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